STOCHASTIC PROPERTIES OF NEURONS WITH SHUNT TYPE INHIBITION.

Yasuo Matsuyama, Katsuhiko Shirai, Kageo Akizuki

研究成果: Chapter

抄録

Stochastic properties of neurons with shunt type inhibition which have Poisson pulse inputs are considered. The shunt type inhibition lowers the neuron potential in the form of division. In this case the neuron model becomes a system with state dependent noise. The transition probability density function and the first passage time density function of the neuron potential are important. These quantities satisfy Kolmogorov's equation and the law of probability conservation. However, analytical solution cannot be obtained except in very simple cases and hence the numerical method is used together with the analytical one. The results calculated for shunt type inhibition are compared with those for subtractive inhibition.

本文言語English
ホスト出版物のタイトルSyst Comput Controls
ページ26-33
ページ数8
5
4
出版ステータスPublished - 1974 7
外部発表はい

ASJC Scopus subject areas

  • Engineering(all)

フィンガープリント 「STOCHASTIC PROPERTIES OF NEURONS WITH SHUNT TYPE INHIBITION.」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル